SAN FRANCISCO DB2 USER GROUP

Meeting Information

Meeting Time and Place: June 12, 2008 (Thursday) 9:00am – 3:00pm

IBM, 4000 Executive Parkway, Suite # 300, San Ramon, CA 94583

Morning Coffee and Lunch provided Courtesy of IBM (formerly Princeton Softech) !!!
Advance registration please!!
Earlier Start–Expanded Content --- Extend an Invitation to Associates & Friends.

Topics:

Understanding The ROI of Database Archiving: 9:30 am – 10:45 am
Database archiving can help organizations to improve system performance, mitigate risks and control
costs. But the benefits don’t end there. Join us to hear how sites across industries have deployed
archiving strategies to support compliance and discovery initiatives, decommission obsolete applications,
leverage cost effective tiered storage and speed application upgrades – just to name a few. Most
importantly, learn how database archiving aligns with your organizational goals of maximizing business
value of your current IT infrastructure.

The Essentials of Test Data Management: 11:00 am – 12:15 pm
Creating realistic and consistent test databases is the first step in delivering reliable database and/or
application enhancements and upgrades. But with multiple database clones to configure and manage,
your costs can quickly spiral out of control. Testing cycles are extended, and releases are delayed. So,
how can you support rapid database and application deployment while controlling costs? Join us for a
discussion of proven test data management techniques.
Learn how organizations have reduced storage costs and sped iterative testing cycles by creating “rightsized”
test environments which accurately represent the structure of relevant data models. Hear how sites can
automate the comparison of baseline data against successive test run results to quickly identify
application errors. Learn about application-aware data masking techniques that sites can leverage to deidentify
and protect confidential information in test databases.

Lunch and Round Table Q&A) 12:15 pm – 1:00 pm

Data Privacy in Non Production Environments: – How Safe is Your Data? 1:00 pm – 2:30pm
Safeguarding the privacy of personally identifying information (like Social Security numbers and payment
card account numbers) is not optional – it’s the law. Organizations today deploy strict access controls to
protect data in production systems. But these measures do not meet the unique needs of application
developers, testers and trainers, who require meaningful data to test and deploy enterprise applications.
So, how can organizations maintain high quality testing standards while protecting the sensitive data in
these non-production environments? Learn how you can use IBM Optim to apply contextual, applicationaware
data masking capabilities that protect confidential data and support data privacy compliance
initiatives in non-production (development, testing and training) environments.

Wrap-up and Farewell. 2:30 pm – 2:45pm
Jim Sinisgalli is Director of Product Line Management for IBM, responsible for product line life cycle and
strategic planning for Optim™, helping customers manage enterprise data for their mission critical
applications. Jim has over 15 years experience in the design and delivery of enterprise software
applications in diverse market segments and has held various roles in development, marketing, project
management and implementation. Prior to joining IBM (Princeton Softech), Jim was a Product Manager at
Hewlett-Packard Company, focusing on J2EE Middleware and various Web Services technologies.

Tom Howell is the Field Marketing Manager for Optim and has almost a decade of experience in the
technology industry. He has spoken at numerous conferences, user groups and associations on topics
ranging from data privacy and compliance to the management of the effects of data growth in enterprise
databases, the implementation of compliance-driven data management strategies, and the
implementation of solutions to secure data in test and development environments. His background
includes work with leading organizations such as Gryphon Networks, Princeton Softech and IBM.